Lookup-Table-Based Model Predictive Torque Control Without Weighting Factors for PMSM Drives

Conventional Finite-Control-Set Model Predictive Torque Control (FCS-MPTC) suffers from the high computational burden and the weighting factor tuning effort, which increase the flux and torque ripples and have a negative impact on the drive performance. Accordingly, this paper presents an enhanced FCS-MPTC for Permanent Magnet Synchronous Motor (PMSM) drives with reduced computational effort and without the use of weighting factors. Based on the use of a new 2-D lookup table (LUT) of Direct Torque Control (DTC) and different from prior method using eight predicted voltage vectors in the cost function, only three voltage vectors are predicted and evaluated, which reduce notably the computational effort. Furthermore, with the aim to eliminate the weighting factors in the cost function, the torque and flux vector references are converted into an equivalent angle between the stator and rotor flux vectors, which decreases the current and flux ripples and improves the control performance. Simulation results are presented to show the effectiveness of the proposed control method.